Henghua Shen
Papers
10
Total Citations
121
H-Index
4
About
Henghua Shen is a leading researcher in the field of robotic manipulation, with a focus on path planning, control systems, and cooperative robotics. His work addresses critical challenges in industrial automation, including optimizing the dexterity and efficiency of robot manipulators through innovative manipulability-based path planning strategies. Shen’s most cited paper, "Adaptive Manipulability-Based Path Planning Strategy for Industrial Robot Manipulators" (2023, 57 citations), introduces a novel RRT* algorithm that balances path length and manipulability to find minimal-cost trajectories. He has also made significant contributions to visual servoing and robust control, as seen in his work on position-based visual servoing of parallel robots using adaptive sliding mode control (27 citations) and teleoperation of multiple mobile manipulators under time delays (15 citations). Shen’s research extends to cooperative systems, where he has developed leader-follower trajectory planning for automated fiber placement and dynamic load allocation in multi-manipulator setups. His notable achievements include integrating RBF neural networks for adaptive control tuning and addressing degeneracy in full-pose path planning. With a growing citation impact, Shen’s work is shaping the future of intelligent, adaptive robotic systems for manufacturing and rehabilitation.
Research Focus
Key Achievements
Top Papers
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- 5Degeneracy-Aware Full-Pose Path Planning Strategy for Robot Manipulator4 citations · 2024
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